README.md

metadata

license: other
language:
  - en
pretty_name: ProcessBench
task_categories:
  - visual-question-answering
tags:
  - robotics
  - embodied-ai
  - benchmark
  - vision-language-models
  - process-understanding
  - manipulation
size_categories:
  - 10K<n<100K
configs:
  - config_name: default
    data_files:
      - split: eval
        path: data/processbench_eval.parquet
      - split: train
        path: data/train-*
dataset_info:
  features:
    - name: image
      dtype: image
  splits:
    - name: train
      num_bytes: 5095162001
      num_examples: 148933
  download_size: 7614328888
  dataset_size: 5095162001

ProcessBench

Dataset Summary

ProcessBench is a process-aware benchmark for robotic manipulation understanding. This release build contains 57,892 public QA rows: 9,051 eval rows and 48,841 SFT rows across 12 task families.

Included in this local release build

• data/processbench_eval.parquet and data/processbench_eval.jsonl
• data/processdata_sft.parquet and data/processdata_sft.jsonl
• dataset-specific split files for all four sources
• metadata/split_summary.json, metadata/eval_manifest.json, metadata/sft_manifest.json
• metadata/task_distribution.csv
• metadata/schema.md, metadata/reconstruction.md, metadata/prompt_templates.md
• post-trained ProcessEval-7B results under ProcessEval_results/

Not included in this local release build

• full upstream raw videos
• full extracted frame caches
• local absolute paths from the development machine
• separate structured task-meta fields
• Croissant metadata
• task-card PNGs and human-audit assets

Sources

• GM-100
• RH20T
• REASSEMBLE
• AIST-Bimanual

Task Families

• T1: Phase Recognition
• T2: Contact Detection
• T3: Motion Direction Prediction
• T4: Bimanual Coordination State
• T5: Primitive-local Progress
• T6: Motion State Recognition
• T7: Operation Outcome Prediction
• T8: Temporal Ordering
• T9: Temporal Priority Prediction
• T10: Current Primitive Recognition
• T11: Next Primitive Prediction
• T12: Primitive Chain Restoration

Splits

• eval: 9,051
• sft: 48,841
• split rule: strict episode / recording / scene isolation

License and Terms

This release uses license: other.

• Derived benchmark metadata in this release remains subject to upstream dataset terms.
• Raw videos and full frame caches are not redistributed here.
• Full visual reconstruction requires obtaining the upstream datasets under their original terms.